New Challenges In Distributed Information Filtering And Retrieval

One of the world’s leading problems in the field of national security is protection of borders and borderlands. This book addresses multiple issues on advanced innovative methods of multi-level control of both ground (UGVs) and aerial drones (UAVs). This is achieved by using sophisticated methods of generation of non-collision trajectory for those types of objects and enabling automatic integration of both ground and aerial unmanned vehicles.

Scientists and researchers involved in computer vision, image processing, data fusion, control algorithms or IC can find many valuable suggestions and solutions. Multiple challenges for such systems are also presented. One of the world’s leading problems in the field of national security is protection of borders and borderlands.

     CAC here has been formulated by two alternative approaches. Call Admission Control (CAC) and Dynamic Channel Assignments (DCA) are important decision-making problems in mobile cellular communication systems. In addition, the present techniques on call admission offers solution globally for the entire network, instead of considering the cells independently.  The second approach is concerned with formulation of CAC as an optimization problem to minimize call drop, satisfying a set of constraints on feasibility and availability of channels, hotness of cells, and velocity and angular displacement of mobile stations.

The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world applications.. Authors, both practitioners and researchers, shared their results in several topics such as "Multi-Agent Systems", "Natural Language Processing", "Automatic Advertisement", "Customer Interaction Analytics", "Opinion Mining".New Challenges in Distributed Information Filtering and Retrieval The chapters of this book present a comprehensive review of related works and state of the art.

  This book borders on the interface between CI techniques and fractional calculus, and looks at ways in which fractional order control systems may be designed or enhanced using CI based paradigms.To the best of the author’s knowledge this is the first book of its kind exclusively dedicated to the application of computational intelligence techniques in fractional order systems and control. Computational Intelligence (CI) techniques have been applied to engineering problems to find solutions to many hitherto intractable conundrums and is a useful tool for dealing with problems of higher computational complexity.

Fractional order calculus is finding increasing interest in the control system community.

. It collects invited chapters and extended research contributions from the DART 2011 Workshop, held in Palermo (Italy), on September 2011, and co-located with the XII International Conference of the Italian Association on Artificial Intelligence.

The proposed approaches outperform traditional methods with respect to grade and quality of services. In addition, the present techniques on call admission offers solution globally for the entire network, instead of considering the cells independently.     CAC here has been formulated by two alternative approaches.

It collects invited chapters and extended research contributions from the DART 2011 Workshop, held in Palermo (Italy), on September 2011, and co-located with the XII International Conference of the Italian Association on Artificial Intelligence.. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world applications.

  The second approach is concerned with formulation of CAC as an optimization problem to minimize call drop, satisfying a set of constraints on feasibility and availability of channels, hotness of cells, and velocity and angular displacement of mobile stations.  Evolutionary techniques, including Genetic Algorithm and Biogeography Based Optimization, have been employed to solve the optimization problems. In addition, the present techniques on call admission offers solution globally for the entire network, instead of considering the cells independently.